Download JAR files tagged by features with all dependencies

A secure, REST administrative connector that can be used locally or remotely using any Java developer kit. This connector enables remote access from a Java client or directly through an HTTPS call. The administrator and reader roles protect the connector. The connector requires TLS to keep the communication confidential. The HTTPS port used by the connector is defined through the default HTTP endpoint. This feature supersedes the restConnector-1.0 feature. It enables the REST handler configuration APIs. When this feature is combined with features supporting configuration validation, the corresponding REST handler validation APIs are enabled.

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (eg. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (eg. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

The RepeatCheckUntilVerified Utility offers a robust asynchronous mechanism for performing repeated condition checks with configurable retries, initial delays, and optional backup actions. Designed for Kotlin-based applications, it simplifies the implementation of retry logic for operations that require validation through repeated attempts, such as network requests, file I/O operations, or any condition-dependent tasks. With features like adjustable timing, maximum attempt control, and failure management through backup actions, it ensures resilience and flexibility in handling operations that may not succeed on the first try. Ideal for applications requiring high reliability and precise control over task verification processes.

Voyager is a library for performing fast approximate nearest-neighbor searches on an in-memory collection of vectors. Voyager features bindings to both Python and Java, with feature parity and index compatibility between both languages. It uses the HNSW algorithm, based on the open-source hnswlib package, with numerous features added for convenience and speed. Voyager is used extensively in production at Spotify, and is queried hundreds of millions of times per day to power numerous user-facing features.

The chart-fx charting library is an extension in the spirit of Oracle's XYChart and performance/time-proven JDataViewer charting functionalities. Emphasis was put on plotting performance for both large number of data points and real-time displays, as well as scientific accuracies leading to error bar/surface plots, and other scientific plotting features (parameter measurements, fitting, multiple axes, zoom, ...). The library also contains a small set of math routines that can operate directly on the DataSet primitive for fitting, computing spectra, linear algebra, FIR/IIR filtering, and other functionalities common to signal processing.